Intent-Oriented Internet Browsing

2. The system of claim 1, wherein the user script is further programmed to allow the user to select one of the target hyperlinks.

3. The system of claim 2, wherein the user script is further programmed to redirect the browser to the selected one of the hyperlinks.

4. The system of claim 3, wherein the user script is further programmed to allow the user to confirm whether any displayed plurality of target hyperlinks actually correspond to the user selected intent.

5. The system of claim 4, wherein the user script is further programmed to allow the user to manually select one of the hyperlinks.

6. The system of claim 5, wherein the prediction server is programmed to determine whether a target page corresponds to a known user intent using a machine learning model trained with hyperlink features.

7. The system of claim 6, wherein the hyperlink features are at least one feature selected from the group consisting of text, content, position, length, and url words.

8. The system of claim 7, wherein the machine learning model comprises a Support Vector Machine classifier with linear kernel trained via distant supervision and manual labeling.

10. The method of claim 9, further comprising the step of allowing the user to select one of the target hyperlinks.

11. The method of claim 10, further comprising the step of redirecting the browser to the selected one of the hyperlinks.

12. The method of claim 11, further comprising the step of allowing the user to confirm whether any displayed plurality of target hyperlinks actually correspond to the user selected intent.

13. The method of claim 12, further comprising the step of allowing the user to manually select one of the hyperlinks.

14. The method of claim 13, wherein the prediction server is programmed to determine whether a target page corresponds to a known user intent using a machine learning model trained with hyperlink features.

15. The method of claim 14, wherein the hyperlink features are at least one feature selected from the group consisting of text, content, position, length, and url words.

16. The method of claim 15, wherein the machine learning model comprises a Support Vector Machine classifier with linear kernel trained via distant supervision and manual labeling.